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Study protocol of a randomised clinical trial testing whether metacognitive training can improve insight and clinical outcomes in schizophrenia

BMC psychiatry, 2020-01, Vol.20 (1), p.30-30, Article 30

2020

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Multidimensional variability in ecological assessments predicts two clusters of suicidal patients

Scientific reports, 2023-03, Vol.13 (1), p.3546-3546, Article 3546

2023

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Objective diagnosis of ADHD using IMUs

Medical engineering & physics, 2014-07, Vol.36 (7), p.922-926

2014

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Multi-Source Change-Point Detection over Local Observation Models

Pattern recognition, 2023-02, Vol.134, p.109116, Article 109116

2023

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User profiles of an electronic mental health tool for ecological momentary assessment: MEmind

International journal of methods in psychiatric research, 2017-03, Vol.26 (1), p.np-n/a

2017

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Use of Ecological Momentary Assessment Through a Passive Smartphone-Based App (eB2) by Patients With Schizophrenia: Acceptability Study

Journal of medical Internet research, 2021-07, Vol.23 (7), p.e26548-e26548

2021

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Real-Time Rotational Activity Detection in Atrial Fibrillation

Frontiers in physiology, 2018-03, Vol.9, p.208-208

2018

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Deep autoregressive models with spectral attention

Pattern recognition, 2023-01, Vol.133, p.109014, Article 109014

2023

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Smartphone-Based Ecological Momentary Assessment for the Measurement of the Performance Status and Health-Related Quality of Life in Cancer Patients Under Systemic Anticancer Therapies: Development and Acceptability of a Mobile App

Frontiers in oncology, 2022-07, Vol.12, p.880430-880430

2022

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Assessment of Variability in Irregularly Sampled Time Series: Applications to Mental Healthcare

Mathematics (Basel), 2021-01, Vol.9 (1), p.71

2021

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Change-point detection in hierarchical circadian models

Pattern recognition, 2021-05, Vol.113, p.107820, Article 107820

2021

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Patients at high risk of suicide before and during a COVID-19 lockdown: ecological momentary assessment study

BJPsych open, 2021-04, Vol.7 (3), p.e82-e82, Article e82

2021

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Corrigendum: Real-Time Rotational Activity Detection in Atrial Fibrillation

Frontiers in physiology, 2018-09, Vol.9, p.1260-1260

2018

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Smartphone-based ecological momentary assessment (EMA) in psychiatric patients and student controls: A real-world feasibility study

Journal of affective disorders, 2020-09, Vol.274, p.733-741

2020

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Real-Time Ventricular Cancellation in Unipolar Atrial Fibrillation Electrograms

Frontiers in bioengineering and biotechnology, 2020-07, Vol.8, p.789-789

2020

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Regularizing transformers with deep probabilistic layers

Neural networks, 2023-04, Vol.161, p.565-574

2023

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Multinomial Sampling of Latent Variables for Hierarchical Change-Point Detection

Journal of signal processing systems, 2022-02, Vol.94 (2), p.215-227

2022

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Six-Month Clinical and Ecological Momentary Assessment Follow-Up of Patients at High Risk of Suicide: A Survival Analysis

The journal of clinical psychiatry, 2022-12, Vol.84 (1)

2022

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Real-world feasibility and acceptability of real-time suicide risk monitoring via smartphones: A 6-month follow-up cohort

Journal of psychiatric research, 2022-05, Vol.149, p.145-154

2022

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Human Activity Recognition by Combining a Small Number of Classifiers

IEEE journal of biomedical and health informatics, 2016-09, Vol.20 (5), p.1342-1351

2016

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Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol

BMC psychiatry, 2019-09, Vol.19 (1), p.277-277, Article 277

2019

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Smartphone-based safety plan for suicidal crisis: The SmartCrisis 2.0 pilot study

Journal of psychiatric research, 2024-01, Vol.169, p.284-291

2024

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One-Week Suicide Risk Prediction Using Real-Time Smartphone Monitoring: Prospective Cohort Study

Journal of medical Internet research, 2023-09, Vol.25 (1), p.e43719-e43719

2023

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Disturbed sleep as a clinical marker of wish to die: A smartphone monitoring study over three months of observation

Journal of affective disorders, 2021-05, Vol.286, p.330-337

2021

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Onset of schizophrenia diagnoses in a large clinical cohort

Scientific reports, 2019-07, Vol.9 (1), p.9865-8, Article 9865

2019

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Study protocol of a randomised clinical trial testing whether metacognitive training can improve insight and clinical outcomes in schizophrenia

Multidimensional variability in ecological assessments predicts two clusters of suicidal patients

Objective diagnosis of ADHD using IMUs

Multi-Source Change-Point Detection over Local Observation Models

User profiles of an electronic mental health tool for ecological momentary assessment: MEmind

Use of Ecological Momentary Assessment Through a Passive Smartphone-Based App (eB2) by Patients With Schizophrenia: Acceptability Study

Real-Time Rotational Activity Detection in Atrial Fibrillation

Deep autoregressive models with spectral attention

Smartphone-Based Ecological Momentary Assessment for the Measurement of the Performance Status and Health-Related Quality of Life in Cancer Patients Under Systemic Anticancer Therapies: Development and Acceptability of a Mobile App

Assessment of Variability in Irregularly Sampled Time Series: Applications to Mental Healthcare

Change-point detection in hierarchical circadian models

Patients at high risk of suicide before and during a COVID-19 lockdown: ecological momentary assessment study

Corrigendum: Real-Time Rotational Activity Detection in Atrial Fibrillation

Smartphone-based ecological momentary assessment (EMA) in psychiatric patients and student controls: A real-world feasibility study

Real-Time Ventricular Cancellation in Unipolar Atrial Fibrillation Electrograms

Regularizing transformers with deep probabilistic layers

Multinomial Sampling of Latent Variables for Hierarchical Change-Point Detection

Six-Month Clinical and Ecological Momentary Assessment Follow-Up of Patients at High Risk of Suicide: A Survival Analysis

Real-world feasibility and acceptability of real-time suicide risk monitoring via smartphones: A 6-month follow-up cohort

Human Activity Recognition by Combining a Small Number of Classifiers

Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol

Smartphone-based safety plan for suicidal crisis: The SmartCrisis 2.0 pilot study

One-Week Suicide Risk Prediction Using Real-Time Smartphone Monitoring: Prospective Cohort Study

Disturbed sleep as a clinical marker of wish to die: A smartphone monitoring study over three months of observation

Onset of schizophrenia diagnoses in a large clinical cohort

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